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Record W2605069787 · doi:10.1002/celc.201700205

Anodic Chlorination of Selenophene‐Containing Polymers: Reaction Efficiency and Selective Reaction of Single Segment in Rod−Rod Diblockcopolymer

2017· article· en· W2605069787 on OpenAlex
Naoki Shida, Daichi Okazaki, Tomoyuki Kurioka, Hiroki Nishiyama, Dwight S. Seferos, Ikuyoshi Tomita, Shinsuke Inagi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemElectroChem · 2017
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThiopheneCopolymerPolymerizationPolymerPolymer chemistryMaterials scienceSide chainChemistryOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

Abstract The post‐polymerization modification of selenophene‐containing (co)polymers is presented based on the electrochemical polymer reaction (ECPR). Selenophene‐ or thiophene‐containing (co)polymers, which are known to be promising materials in optoelectronic devices, were synthesized through Kumada catalyst transfer polymerization to give their homopolymers and block‐ or statistical copolymers with various side chains. Each of the series of polymers was subjected to post‐modification through the ECPR, and the reaction efficiencies were systematically compared. Selenophene‐containing polymers were successfully modified with better ECPR reaction efficiencies than their thiophene analogues. Moreover, the dramatic inhibiting effect of a branched side chain on the ECPR was observed and rationalized, which was very unexpected. Based on the basic tendency observed here, we have finally demonstrated the selective modification of a single segment of a rod−rod block copolymer for the first time.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.268
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it